Quantum Machine Learning course
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Syllabus
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Summary
Immerse yourself in the fascinating world of the Quantum Machine Learning course and prepare yourself to be at the forefront of technology. At a time when quantum computing is revolutionizing the technological sector, the demand for trained professionals in Quantum Machine Learning (QML) does not stop growing. This course offers you a deep understanding of the foundations of quantum mechanics and automatic learning, combining both fields to open new possibilities in artificial intelligence. You will learn to use tools such as Qiskit and design quantum circuits, exploring quantum algorithms for supervised and non -supervised learning. When completing this course, you will be able to face the current and future challenges of the QML.
Goals
Professional opportunities
To prepare you
This Quantum Machine Learning course prepares you to integrate the principles of quantum mechanics with advanced automatic learning techniques, allowing you to handle tools such as Qiskit and understand quantum circuits. You will learn to encode classic data in quantum states and implement parameterized quantum models. You can develop quantum algorithms applied to real supervised and non -supervised learning problems.
Who is it addressed to?
The Quantum Machine Learning course is aimed at professionals and graduates of the technological and scientific sector who wish to deepen quantum computing and its application in automatic learning. Ideal for those who seek to understand foundations such as quantum and qiskit circuits, as well as explore quantum algorithms in contexts.
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Degree issued by Educa Open, specialized center in training in various technological areas
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